for profile_id, profile_name in enumerate(profile_names):
fig = plt.figure()
ax = fig.add_subplot(111)
profile_axis = nc.variables['profile'][profile_id]
profile_axis_units = nc.variables['profile'].units
profile_axis_name = nc.variables['profile'].long_name
profile_axis_out_units = 'km'
profile_axis = np.squeeze(
unit_converter(profile_axis[:], profile_axis_units, profile_axis_out_units))
my_var = nc.variables[varname]
my_var_units = my_var.units
my_var_p = permute(my_var, output_order=output_order)
data = np.squeeze(my_var_p[profile_id, 0, Ellipsis])
data = unit_converter(data, my_var_units, o_units)
# stuff needed for masking
z = np.squeeze(nc.variables['z'][:])
b = np.squeeze(nc.variables['topg'][:])
s = np.squeeze(nc.variables['usurf'][:])
ss = np.tile(s, [len(z), 1])
x = profile_axis
xx = np.squeeze(np.tile(x, [len(z), 1])).transpose()
zz = np.squeeze((np.tile(z, [len(x), 1])).transpose() + b)
mask = zz > ss
data_ma = np.ma.array(data=data, mask=mask)
ylabel = ("relative flotation [%s]" % var_units_str)
elif var in ("taud", "taud_mag", "taud_x", "taud_y", "bwp", "tauc"):
out_units = "Pa"
var_units_str = "Pa"
ylabel = ("pressure [%s]" % var_units_str)
elif var in ("csurf", "cbase", "cbar", "velsurf_mag", "velsurf_base"):
out_units = "m year-1"
var_units_str = "m a$^{-1}$"
ylabel = ("speed [%s]" % var_units_str)
else:
print("unit %s not recognized" % var_units)
var_ylabels.append(ylabel)
try:
var_vals = unit_converter(
np.squeeze(permute(nc.variables[var],
output_order=output_order)), var_units, out_units)
except:
var_vals = unit_converter(
np.squeeze(permute(nc.variables[var],
output_order=output_order_cdo)), var_units, out_units)
if normalize:
var_vals -= var_vals[0]
var_values.append(var_vals)
nc.close()
aspect_ratio = golden_mean
# set the print mode
var_units_str = "-"
ylabel = ("relative flotation [%s]" % var_units_str)
elif var in ("taud", "taud_mag", "taud_x", "taud_y", "bwp", "tauc"):
out_units = "Pa"
var_units_str = "Pa"
ylabel = ("pressure [%s]" % var_units_str)
elif var in ("csurf", "cbase", "cbar"):
out_units = "m year-1"
var_units_str = "m a$^{-1}$"
ylabel = ("speed [%s]" % var_units_str)
else:
print("unit %s not recognized" % var_units)
var_ylabels.append(ylabel)
var_units_strings.append(var_units_str)
try:
var_vals = unit_converter(np.squeeze(permute(nc.variables[var],
output_order=output_order)), var_units, out_units)
except:
var_vals = unit_converter(np.squeeze(permute(nc.variables[var],
output_order=output_order_cdo)), var_units, out_units)
if normalize:
var_vals -= var_vals[0]
var_values.append(var_vals)
nc.close()
try:
no_profiles = len(var_values[0][:, 0])
except:
no_profiles = 1